ORIE 5258
Last Updated
- Schedule of Classes - November 1, 2024 7:44PM EDT
- Course Catalog - November 1, 2024 7:07PM EDT
Classes
ORIE 5258
Course Description
Course information provided by the Courses of Study 2024-2025.
Python is rapidly becoming a golden standard for quantitative finance. In this course students will be exposed to the powerful and fast open-source data science libraries and specific applications of analyzing financial data sets.
When Offered Fall.
Permission Note Enrollment limited to: first semester ORIE FE MEng students.
Prerequisites/Corequisites Prerequisite: ENGRD 2700 and familiarity with Python.
Comments Non-ORIE FE MEng students may apply if there is capacity by reaching out to Victoria Averbukh at vza1@cornell.edu.
Outcomes- Students will enhance their knowledge of Python and Python libraries as they pertain to financial applications.
- Students will apply their data analysis and statistical knowledge for financial modeling and will work with financial data sets.
- Students will learn how to draw insights from data science algorithms with the help of Python packages.
Seven Week - Second.
-
Credits and Grading Basis
1.5 Credits Graded(Letter grades only)
-
Class Number & Section Details
-
Meeting Pattern
- MW Online Meeting
- Oct 16 - Dec 9, 2024
Instructors
Aldridge, I
-
Additional Information
Instruction Mode: Distance Learning-Synchronous
Priority given to: first-year Master of Engineering (MEng) Financial Engineering students. Email orie-ug-support@cornell.edu to be added to the waitlist.
Department Consent Required (Add)
Share
Or send this URL: